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Record W2942308683 · doi:10.1177/1368431019838455

Introduction to the politics of life: A biopolitical mess

2019· article· en· W2942308683 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEuropean Journal of Social Theory · 2019
Typearticle
Languageen
FieldNeuroscience
TopicNeuroethics, Human Enhancement, Biomedical Innovations
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsBiopowerPoliticsSociologyNeoliberalism (international relations)Environmental ethicsSocial sciencePolitical scienceLawPhilosophy

Abstract

fetched live from OpenAlex

This introduction to the special issue focuses on the messiness of biopolitics. The biopolitical is a composite mixture of heterogeneous, and sometimes conflicting, forces, discourses, institutions, laws, and practices that are embedded in and animated by material social relations. In the now extensive literature on biopolitics, our biopolitical era is characterized by the blending and mixing of what were previously thought of as separate realms: life is biologized, politics is biologized and biology is politicized, life and politics have been economized, and making life is intertwined with making death. This article provides a general overview of two strains of these biopolitical entanglements. It begins by examining the largely French and Italian focus on how politics and life have become economized in contemporary neoliberalism. We then turn to the mainly Anglo-American focus on the biologization of life. It concludes by taking up the central problem that arises from the messiness of biopolitics: whither the political of the biopolitical economy of life? Is there such a thing as the political proper in our era? If not, then what type of politics must be deployed to address the issues of our biopolis?

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.702
Threshold uncertainty score0.653

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.038
GPT teacher head0.306
Teacher spread0.269 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it